Model Card on HF 🤗: https://huggingface.co/jhu-clsp/ettin-decoder-150m
Ettin Decoder 150M Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Ettin Decoder 150M Parameters and Internals
| LLM Name | Ettin Decoder 150M |
| Repository 🤗 | https://huggingface.co/jhu-clsp/ettin-decoder-150m |
| Model Size | 150m |
| Required VRAM | 0.6 GB |
| Updated | 2025-07-22 |
| Maintainer | jhu-clsp |
| Model Type | modernbert-decoder |
| Model Files | |
| Supported Languages | en |
| Model Architecture | ModernBertDecoderForCausalLM |
| License | mit |
| Context Length | 7999 |
| Model Max Length | 7999 |
| Transformers Version | 4.47.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | [PAD] |
| Vocabulary Size | 50368 |
| Torch Data Type | float32 |
Rank the Ettin Decoder 150M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124